State of the art in statistical machine translation is currently represented by phrasebased models, which typically incorporate a large number of probabilities of phrase-pairs and word n-grams. In this work, we investigate data compression methods for efficiently encoding n-gram and phrase-pair probabilities, that are usually encoded in 32-bit floating point numbers. We measured the impact of c...
